code: def init_stats():
      """Initialize statistics that we want to accumulate."""
      return {
          "step_time": 0.0,
          "train_loss": 0.0,
          "predict_count": 0.0,  # word count on the target side
          "word_count": 0.0,  # word counts for both source and target
          "sequence_count": 0.0,  # number of training examples processed
          "grad_norm": 0.0,
      }
  
imports: from __future__ import print_function
  import math
  import os
  import random
  import time
  import tensorflow
  from .None import inference, gnmt_model
  from .gnmt import attention_model, model
  from .gnmt import model_helper
  from .gnmt.utils import nmt_utils, misc_utils
label_desc: Use image node_id 7 for calling a global function with example usage: init_stats() and returns: dict